This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources.
memo://insights
A continuously updated memo aggregating discovered data insights.
Updated automatically when new insights are appended via the append_insight
tool.
context://table/{table_name}
(If prefetch enabled) Per-table schema summaries, including columns and comments, exposed as individual resources.
The server exposes the following tools:
read_query
Execute SELECT
queries to read data from the database.
Input:
query
(string): The SELECT
SQL query to executewrite_query
(enabled only with --allow-write
)
Execute INSERT
, UPDATE
, or DELETE
queries.
Input:
query
(string): The SQL modification querycreate_table
(enabled only with --allow-write
)
Create new tables in the database.
Input:
query
(string): CREATE TABLE
SQL statementlist_databases
List all databases in the Snowflake instance.
Returns: Array of database names
list_schemas
List all schemas within a specific database.
Input:
database
(string): Name of the databaselist_tables
List all tables within a specific database and schema.
Input:
database
(string): Name of the databaseschema
(string): Name of the schemadescribe_table
View column information for a specific table.
Input:
table_name
(string): Fully qualified table name (database.schema.table
)append_insight
insight
(string): Data insight discovered from analysismemo://insights
resourceTo install Snowflake Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp_snowflake_server --client claude
"mcpServers": {
"snowflake_pip": {
"command": "uvx",
"args": [
"--python=3.12", // Optional: specify Python version <=3.12
"mcp_snowflake_server",
"--account", "your_account",
"--warehouse", "your_warehouse",
"--user", "your_user",
"--password", "your_password",
"--role", "your_role",
"--database", "your_database",
"--schema", "your_schema"
// Optionally: "--allow_write"
// Optionally: "--log_dir", "/absolute/path/to/logs"
// Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
// Optionally: "--exclude_tools", "{tool_name}", ["{other_tool_name}"]
]
}
}
Install Claude AI Desktop App
Install uv
:
curl -LsSf https://astral.sh/uv/install.sh | sh
.env
file with your Snowflake credentials:SNOWFLAKE_USER="xxx@your_email.com"
SNOWFLAKE_ACCOUNT="xxx"
SNOWFLAKE_ROLE="xxx"
SNOWFLAKE_DATABASE="xxx"
SNOWFLAKE_SCHEMA="xxx"
SNOWFLAKE_WAREHOUSE="xxx"
SNOWFLAKE_PASSWORD="xxx"
# Alternatively, use external browser authentication:
# SNOWFLAKE_AUTHENTICATOR="externalbrowser"
[Optional] Modify runtime_config.json
to set exclusion patterns for databases, schemas, or tables.
Test locally:
uv --directory /absolute/path/to/mcp_snowflake_server run mcp_snowflake_server
claude_desktop_config.json
:"mcpServers": {
"snowflake_local": {
"command": "/absolute/path/to/uv",
"args": [
"--python=3.12", // Optional
"--directory", "/absolute/path/to/mcp_snowflake_server",
"run", "mcp_snowflake_server"
// Optionally: "--allow_write"
// Optionally: "--log_dir", "/absolute/path/to/logs"
// Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
// Optionally: "--exclude_tools", "{tool_name}", ["{other_tool_name}"]
]
}
}
--allow-write
.append_insight
tool updates the memo://insights
resource dynamically.by: Community
A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.
by: modelcontextprotocol
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